In this research work, a power quality enhanced grid voltage sensorless deadbeat predictive direct power control (DB-DPC) approach for AC/DC power converters based on latest virtual flux (VF) estimation, DB-DPC and space vector pulse width modulation (SVPWM) is proposed. At first, the grid voltage sensorless technique with switching table based DPC, which is a conventional approach, is discussed and its performance is analyzed under both increase of load as well as decrease of load conditions. Further, the proposed technique performance is also analyzed under the same circumstance and its performance is compared with the traditional method. The proposed technique has numerous advantages over the conventional method such as constant switching frequency, better active and reactive power control, good regulation of dc bus voltage, and enhanced power quality performance. As the proposed approach utilizes VF, DB-PC, and SVPWM techniques, this ensure line voltage sensorless approach, excellent control dynamics and constant switching frequency, respectively. At the end, experimental validation is done to confirm the supremacy of the proposed technique under load varying conditions and has a phenomenal performance under these circumstances.

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Switching Table-based Direct Power Control (ST-DPC) is one of the most widely used techniques in Active Front-End (AFE) rectifiers. Proper control of switching states of the power converter is essential to obtain better power quality performance and quicker response to the load demand. In the classical ST-DPC techniques such as Virtual Flux with Noguchi's Table-based DPC (VF-NT-DPC) and Virtual Flux with Improved Table-based DPC (VF-IT-DPC) etc., these switching states are decided based on a predefined static switching table. Hence, they have poor power quality and dynamic performance with load variations. In this research work, in-depth mathematical analysis is carried out based on the quantised values of 'the rate of change of active and reactive powers' and an algorithm is introduced for AFEs. Since, the proposed algorithm is considering the quantised values of 'the rate of change of active and reactive powers', which is dynamic in nature; therefore, it has reduced THD, lesser power ripple, and quicker response than classical ST-DPC techniques. To show the superiority of the Algorithm based DPC (A-DPC) technique experimental work is carried out and the power quality performance of the proposed A-DPC is compared with conventional ST-DPC techniques VF-NT-DPC and VF-IT-DPC.